Collective-Based Multiagent Coordination: A Case Study

  • Matteo Vasirani
  • Sascha Ossowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4995)


In this paper we evaluate Probability Collectives (PC) as a framework for the coordination of collectives of agents. PC allows for efficient multiagent coordination without the need of explicit acquaintance models. We selected Distributed Constraint Satisfaction as case study to evaluate the PC approach for the well-known 8-Queens problem. Two different architectural structures have been implemented, one centralized and one decentralized. We have also compared between the decentralized version of PC and ADOPT, the state of the art in distributed constraint satisfaction algorithms.


Multiagent System Expected Utility Joint Move Architectural Structure Global Utility 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Matteo Vasirani
    • 1
  • Sascha Ossowski
    • 1
  1. 1.University Rey Juan CarlosMadridSpain

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